AWS Machine Learning - AI

MARCH 1, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

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AWS Machine Learning - AI

SEPTEMBER 25, 2024

Amazon Bedrock Knowledge Bases is a fully managed capability that helps you implement the entire RAG workflow—from ingestion to retrieval and prompt augmentation—without having to build custom integrations to data sources and manage data flows. Latest innovations in Amazon Bedrock Knowledge Base provide a resolution to this issue.

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AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

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AWS Machine Learning - AI

JULY 2, 2024

In November 2023, we announced Knowledge Bases for Amazon Bedrock as generally available. Knowledge bases allow Amazon Bedrock users to unlock the full potential of Retrieval Augmented Generation (RAG) by seamlessly integrating their company data into the language model’s generation process.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to configure specialized agents that seamlessly run actions based on natural language input and your organization’s data. Knowledge Bases for Amazon Bedrock provides fully managed RAG to supply the agent with access to your data.

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CIO

OCTOBER 24, 2024

Yet many still rely on phone calls, outdated knowledge bases, and manual processes. That means organizations are lacking a viable, accessible knowledge base that can be leveraged, says Alan Taylor, director of product management for Ivanti – and who managed enterprise help desks in the late 90s and early 2000s. “We

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AWS Machine Learning - AI

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

Knowledge Base 130

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AWS Machine Learning - AI

MAY 31, 2024

Knowledge Bases for Amazon Bedrock is a fully managed RAG capability that allows you to customize FM responses with contextual and relevant company data. Crucially, if you delete data from the source S3 bucket, it’s automatically removed from the underlying vector store after syncing the knowledge base.

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AWS Machine Learning - AI

JULY 1, 2024

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. You can simply connect QnAIntent to company knowledge sources and the bot can immediately handle questions using the allowed content.

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AWS Machine Learning - AI

APRIL 23, 2024

This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework. AWS Well-Architected design principles RAG-based applications built using Knowledge Bases for Amazon Bedrock can greatly benefit from following the AWS Well-Architected Framework.

Knowledge Base 126

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AWS Machine Learning - AI

APRIL 26, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

Knowledge Base 126

Knowledge Base Generative AI Artificial Inteligence AWS 126

AWS Machine Learning - AI

AUGUST 5, 2024

An end-to-end RAG solution involves several components, including a knowledge base, a retrieval system, and a generation system. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock. Choose Sync to initiate the data ingestion job.

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AWS Machine Learning - AI

JULY 10, 2024

Knowledge Bases for Amazon Bedrock is a fully managed service that helps you implement the entire Retrieval Augmented Generation (RAG) workflow from ingestion to retrieval and prompt augmentation without having to build custom integrations to data sources and manage data flows, pushing the boundaries for what you can do in your RAG workflows.

Knowledge Base 135

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AWS Machine Learning - AI

AUGUST 5, 2024

Included with Amazon Bedrock is Knowledge Bases for Amazon Bedrock. As a fully managed service, Knowledge Bases for Amazon Bedrock makes it straightforward to set up a Retrieval Augmented Generation (RAG) workflow. With Knowledge Bases for Amazon Bedrock, we first set up a vector database on AWS.

Knowledge Base 116

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AWS Machine Learning - AI

NOVEMBER 7, 2024

Amazon Bedrock Agents coordinates interactions between foundation models (FMs), knowledge bases, and user conversations. The agents also automatically call APIs to perform actions and access knowledge bases to provide additional information. The documents are chunked into smaller segments for more effective processing.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

One of its key features, Amazon Bedrock Knowledge Bases , allows you to securely connect FMs to your proprietary data using a fully managed RAG capability and supports powerful metadata filtering capabilities. Context recall – Assesses the proportion of relevant information retrieved from the knowledge base.

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AWS Machine Learning - AI

SEPTEMBER 19, 2024

Amazon Bedrock Knowledge Bases provides foundation models (FMs) and agents in Amazon Bedrock contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, accurate, and customized responses. Amazon Bedrock Knowledge Bases offers a fully managed RAG experience.

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AWS Machine Learning - AI

DECEMBER 4, 2024

When users pose questions through the natural language interface, the chat agent determines whether to query the structured data in Amazon Athena through the Amazon Bedrock IDE function, search the Amazon Bedrock knowledge base, or combine both sources for comprehensive insights.

Generative AI 106

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CIO

JANUARY 12, 2025

Vision 2030 aims to foster a knowledge-based economy and establish Saudi Arabia as a global leader in technology and innovation. The surge in AI and IoT-focused startups is directly aligned with the objectives of Saudi Vision 2030, a strategic framework designed to diversify the Kingdoms economy and reduce its reliance on oil revenues.

IoT 177

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Seamless integration of latest foundation models (FMs), Prompts, Agents, Knowledge Bases, Guardrails, and other AWS services. Flexibility to define the workflow based on your business logic. Knowledge base node : Apply guardrails to responses generated from your knowledge base.

Generative AI 121

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CIO

JANUARY 9, 2025

These AI-based tools are particularly useful in two areas: making internal knowledge accessible and automating customer service. Chatbots are used to build response systems that give employees quick access to extensive internal knowledge bases, breaking down information silos.

Artificial Inteligence 191

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CIO

NOVEMBER 11, 2024

Saudi Arabia’s AI ambitions are rooted in its Vision 2030 agenda, which outlines AI as a key pillar in the country’s transition to a knowledge-based economy. By prioritizing AI, the Kingdom hopes to cultivate new revenue streams outside of its traditional reliance on oil.

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AWS Machine Learning - AI

MAY 2, 2025

The primary agent can also consult attached knowledge bases or trigger action groups before or after subagent involvement. The data assistant agent maintains direct integration with the Amazon Bedrock knowledge base, which was initially populated with ingested financial document PDFs as detailed in this post.

Real Estate 87

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AWS Machine Learning - AI

OCTOBER 29, 2024

We have built a custom observability solution that Amazon Bedrock users can quickly implement using just a few key building blocks and existing logs using FMs, Amazon Bedrock Knowledge Bases , Amazon Bedrock Guardrails , and Amazon Bedrock Agents.

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AWS Machine Learning - AI

OCTOBER 31, 2024

The Lambda function interacts with Amazon Bedrock through its runtime APIs, using either the RetrieveAndGenerate API that connects to a knowledge base, or the Converse API to chat directly with an LLM available on Amazon Bedrock. If you don’t have an existing knowledge base, refer to Create an Amazon Bedrock knowledge base.

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AWS Machine Learning - AI

APRIL 1, 2025

Whether youre an experienced AWS developer or just getting started with cloud development, youll discover how to use AI-powered coding assistants to tackle common challenges such as complex service configurations, infrastructure as code (IaC) implementation, and knowledge base integration.

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Agile Alliance

JUNE 1, 2023

An approach to instilling Agile and Scrum knowledge based on a Just-In-Time strategy.

SCRUM 307

SCRUM Knowledge Base Agile Strategy 307

CIO

OCTOBER 30, 2024

Immediate access to vast security knowledge bases and quick documentation retrieval are just the beginning. By automating routine tasks, these AI assistants enrich intelligence, support informed decision-making, and guide users through complex remediation processes.

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AWS Machine Learning - AI

SEPTEMBER 24, 2024

We will walk you through deploying and testing these major components of the solution: An AWS CloudFormation stack to set up an Amazon Bedrock knowledge base, where you store the content used by the solution to answer questions. This solution uses Amazon Bedrock LLMs to find answers to questions from your knowledge base.

Knowledge Base 101

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CIO

DECEMBER 9, 2024

In this scenario, using AI to improve employee capabilities by building on the existing knowledge base will be key. In 2025, we can expect to see better frameworks for calculating these costs from firms such as Gartner, IDC, and Forrester that build on their growing knowledge bases from proofs of concept and early deployments.

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AWS Machine Learning - AI

MARCH 4, 2025

Knowledge base integration Incorporates up-to-date WAFR documentation and cloud best practices using Amazon Bedrock Knowledge Bases , providing accurate and context-aware evaluations. These documents form the foundation of the RAG architecture. Metadata filtering is used to improve retrieval accuracy.

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CIO

OCTOBER 24, 2024

Deploy automation processes and accurate knowledge bases to speed up help desk response and resolution. Establish DEX metrics and equip IT with the DEX management processes and tools to monitor, collect, analyze, and present this data.

Metrics 177

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AWS Machine Learning - AI

APRIL 10, 2025

They offer fast inference, support agentic workflows with Amazon Bedrock Knowledge Bases and RAG, and allow fine-tuning for text and multi-modal data. To do so, we create a knowledge base. Complete the following steps: On the Amazon Bedrock console, choose Knowledge Bases in the navigation pane. Choose Next.

Case Study 122

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TechCrunch

MARCH 2, 2021

Chris Buttenham is the CEO and co-founder of Obie, a knowledge base software and support accelerator. The DevOps software provider acts as a great example of a company that lives and breathes through documenting and codifying internal knowledge. Chris Buttenham. Contributor. Share on Twitter.

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CIO

JANUARY 20, 2025

According to Jackson, CIOs arent sitting in ivory tower offices discussing the virtues of one AGI benchmark over another; theyre asking their software developers to automate complex knowledge-based tasks and processes with foundation models.

Development 182

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AWS Machine Learning - AI

APRIL 22, 2025

Post-event processing and knowledge base indexing After the event concludes, recorded media and transcriptions are securely stored in Amazon S3 for further analysis. AI-powered chat-based assistant A key feature of this architecture is an AI-powered chat assistant, which is used to interactively query the event knowledge base.

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Media Knowledge Base AWS Systems Review 79

CIO

MARCH 14, 2025

IDC TechMatch is the first AI-driven software sourcing platform that empowers you to make confident software investment decisions faster using the most reliable IT market knowledge base.

Technical Review 191

Technical Review Weak Development Team B2B Software Review 191